Supporting data compression using match scoring

ABSTRACT

In one embodiment, a processing system is provided. The processing system includes a memory for storing an input bit stream and a processing logic coupled to the memory. The processing logic to identify, within the input bit stream, a first bit subsequence of an input bit sequence and a second bit subsequence of the input bit sequence. A first score reflecting the length of the first bit subsequence and the distance between the input bit sequence and the first bit subsequence and a second score reflecting the length of the second bit subsequence, within the input bit stream, and the distance between the input bit sequence and the second bit subsequence is determined. In view of the first score and the second score, one of the first bit subsequence or the second bit subsequence is selected. A code representing a selected bit subsequence is appended to an output bit sequence.

TECHNICAL FIELD

Embodiments of the disclosure relate generally to computer systems, andmore specifically, but without limitation, to supporting datacompression using match scoring.

BACKGROUND

In contemporary computer systems and networking, data compressionalgorithms, such as deflate compression, is often used to performon-the-fly data compression at a transmission point of the data anddecompression at a receiving end. Many compression algorithms usingdeflate compressed data provide lossless data compression using acombination of the Lempel-Ziv (LZ) algorithm and Huffman coding. Moreparticularly, deflate uses LZ to reduce the number of symbols in a giveblock of data and subsequently uses Huffman coding to reduce the numberof bits consumed by individual symbols. Deflate compression is used invarious compressed formats, including GZIP and PIMP.

BRIEF DESCRIPTION OF THE DRAWINGS

The disclosure will be understood more fully from the detaileddescription given below and from the accompanying drawings of variousembodiments of the disclosure. The drawings, however, should not betaken to limit the disclosure to the specific embodiments, but are forexplanation and understanding only.

FIG. 1 illustrates a block diagram of a processing device for supportingdata compression using match scoring according to one embodiment.

FIG. 2 illustrates a block diagram of a compression module forsupporting data compression using match scoring according to oneembodiment.

FIG. 3 illustrates a block diagram of a compression module forsupporting data compression using match scoring according to anotherembodiment.

FIG. 4 illustrates a flow diagram of a method for supporting datacompression using match scoring according to one embodiment.

FIG. 5A is a block diagram illustrating a micro-architecture for aprocessor according to one embodiment.

FIG. 5B is a block diagram illustrating an in-order pipeline and aregister renaming stage, out-of-order issue/execution pipeline accordingto one embodiment.

FIG. 6 is a block diagram illustrating a computer system according toone implementation.

FIG. 7 is a block diagram illustrating a system in which an embodimentof the disclosure may be used.

FIG. 8 is a block diagram illustrating a system in which an embodimentof the disclosure may be used.

FIG. 9 is a block diagram illustrating a system in which an embodimentof the disclosure may be used.

FIG. 10 is a block diagram illustrating a System-on-a-Chip (SoC) inwhich an embodiment of the disclosure may be used.

FIG. 11 is a block diagram illustrating a SoC design in which anembodiment of the disclosure may be used.

FIG. 12 illustrates a block diagram illustrating a computer system inwhich an embodiment of the disclosure may be used.

DETAILED DESCRIPTION

Embodiments of the disclosure implement techniques for supporting datacompression using match scoring. The techniques described herein may beused to improve a data compression ratio achieved in certain compressiontechniques, such as deflate compression techniques. The data compressionratio may be defined as a ratio between an uncompressed size andcompressed size of data. A standard format of data used in thecompression techniques may include a series of data blocks, whichcorrespond to an input data stream of successive data bits of aparticular length.

In one embodiment, certain deflate compression techniques may performcompression by matching a bit sequence (or “byte” sequence with a bytecorresponding to a number of bits) found in the input data stream withanother bit sequence that has been found earlier in the input datastream. When matching sequences of the bit sequence are found in theinput data stream, the input data stream is compressed by appending acode representing the bit sequence to an output stream. For example, thecode may be a Huffman code representing “literals” that represents acopy of the bit sequence and/or a length-distance (L, BD) pair ofsymbols that describe the copy. The length-distance pair indicates abackward distance (BD) to go back from the current input data location,to locate repeat or match of a given length (L) of the data sequence.The references may be used to replace data occurring in the same or aprevious data block, for example, up to 32K of input data bytes back.

In some compression algorithms, once raw input data has been turned intoa string of literals and special length, distance pairs, these elementsmay be represented with certain codes, such as Huffman codes. In somesituations, a Huffman code may define a data element (e.g., a variablelength of bytes) for reconstruction of the original input data prior tocompression. For example, each Huffman code may represent either literalbytes ranging from 0 to 255, the length in bytes of a repeated datapattern from the (L, BD) pair of symbols and the backward distance, inbytes, of a repeated data pattern, measured with respect to the code'sposition. The code may be followed by a number of “extra bits” forunderstanding a context of the data element that preceded them. Forexample, a data element for a backward distance (BD) code representing arange of 1024-2047 bytes may be followed by a 10-bit extra-bits field,where the 10-bits are interpreted as a binary integer between 0 and1023. The binary integer may then be added to the beginning point of therange, e.g., 1024, to yield an exact distance. Thus, the data elementsand the extra bits may be used to reconstruct the input data beingrepresented by the Huffman code (e.g., the literal, length or backwarddistance).

To identify matches, the input data stream is searched to identifymultiple occurrences of the bit sequence. The compression techniques maykeep track of the location of the bit sequences in the input data streamusing a data structure to index the locations. The data structure inwhich location data of the matches are held may be referred to as ahistory window. During the compression process, a number of locations inthe input data stream are searched to determine the “best” match to thebit sequence. Traditionally, the “best” match is chosen as the one withthe longest match to the bit sequence. When there are two or morematches of the same longest length, the best match is taken as thecloser one, e.g., the one with the shortest distance. For instant, whencomparing two matches, the “best” match is the one with the longestlength, or if the lengths are the same, the one with the shorterdistance. The “best” match is then encoded. For example, to encode thematch, the original data may be replaced with a combination of literalsand length-distance (L, BD) reference symbols, and then encoded into abinary representation (e.g., using Huffman codes).

Embodiments of the present disclosure provide improvements on thecompression ratio in deflate compression techniques by generating amatching score for each identified match of the bit sequence. Thematching score may be used to determine a “best” match rather than usinga longest match to the bit sequence. The score of a data sequence is aheuristic that indicates the quality of a match by indicating a relativemeasure of which sequence will generate fewer output bits if that datasequence is used to compress the input data stream. For example, aslightly shorter match (e.g., one byte shorter) that is relativelycloser distance is often a better match that a slightly longer matchfurther away. In some embodiments, this is because more “extra bits” aregenerated in the output stream for matches that are a farther distanceaway. Thus, by using the relatively closer bit sequence with a slightlyshorter match, the input data stream may be compressed more efficiently.

In one embodiment, the techniques disclosed herein may be embedded in acombination of hardware circuitry and software of an encoder/decoderdevice implementing a deflate compression technique. In an alternativeembodiment, the techniques disclosed herein may be incorporated into adedicated hardware device (e.g., an accelerator) coupled to a processorof a processing system. In some embodiments, the hardware device may bewithin the processor, such as in an execution unit, or it may on aseparate device from the processor. In one embodiment, the hardwaredevice may include some logic or instructions that are outside ofprocessor cores of the processor. The instructions may allow thehardware device to accelerate a particular job rather than executing thejob in the processor cores. For example, the processor cores may submita job, such as a network job, to the hardware device, which in turn mayperform compression on some data associated with the network job. Theprocessor cores can then operate independently on other jobs. When thehardware device is finished with the compression, a signal may be sentto the processor cores that compressed results data is ready for output.Thus, the processor may use the hardware device to off-load an amount ofwork from the processor cores to improve performance of the processingsystem.

FIG. 1 illustrates a block diagram of a processing device 100 forsupporting data compression using match scoring according to oneembodiment. The processing device 100 may be generally referred to as“processor” or “CPU”. “Processor” or “CPU” herein shall refer to adevice capable of executing instructions encoding arithmetic, logical,or I/O operations. In one illustrative example, a processor may includean arithmetic logic unit (ALU), a control unit, and a plurality ofregisters. In a further aspect, a processor may include one or moreprocessing cores, and hence may be a single core processor which istypically capable of processing a single instruction pipeline, or amulti-core processor which may simultaneously process multipleinstruction pipelines. In another aspect, a processor may be implementedas a single integrated circuit, two or more integrated circuits, or maybe a component of a multi-chip module (e.g., in which individualmicroprocessor dies are included in a single integrated circuit packageand hence share a single socket).

As shown in FIG. 1, processing device 100 may include variouscomponents. In one embodiment, processing device 100 may include one ormore processors cores 110 and a memory controller unit 120, among othercomponents, coupled to each other as shown. The processing device 100may also include a communication component (not shown) that may be usedfor point-to-point communication between various components of theprocessing device 100. The processing device 100 may be used in acomputing system (not shown) that includes, but is not limited to, adesktop computer, a tablet computer, a laptop computer, a netbook, anotebook computer, a personal digital assistant (PDA), a server, aworkstation, a cellular telephone, a mobile computing device, a smartphone, an Internet appliance or any other type of computing device. Inanother embodiment, the processing device 100 may be used in a system ona chip (SoC) system. In one embodiment, the SoC may comprise processingdevice 100 and a memory. The memory for one such system is a DRAMmemory. The DRAM memory can be located on the same chip as the processorand other system components. Additionally, other logic blocks such as amemory controller or graphics controller can also be located on thechip.

The processor core(s) 110 may execute instructions of the processingdevice 100. The instructions may include, but are not limited to,pre-fetch logic to fetch instructions, decode logic to decode theinstructions, execution logic to execute instructions and the like. Thecomputing system may be representative of processing systems based onthe Pentium® family of processors and/or microprocessors available fromIntel® Corporation of Santa Clara, Calif., although other systems(including computing devices having other microprocessors, engineeringworkstations, set-top boxes and the like) may also be used. In oneembodiment, a sample computing system may execute a version of anoperating system, embedded software, and/or graphical user interfaces.Thus, embodiments of the disclosure are not limited to any specificcombination of hardware circuitry and software.

In an illustrative example, processing core 110 may have amicro-architecture including processor logic and circuits. Processorcores with different micro-architectures can share at least a portion ofa common instruction set. For example, similar register architecturesmay be implemented in different ways in different micro-architecturesusing various techniques, including dedicated physical registers, one ormore dynamically allocated physical registers using a register renamingmechanism (e.g., the use of a register alias table (RAT), a reorderbuffer (ROB) and a retirement register file).

Memory controller 120 may perform functions that enable the processingdevice 100 to access and communicate with memory (not shown) thatincludes a volatile memory and/or a non-volatile memory. In someembodiments, the memory controller 120 may be located on a processor dieassociated with processing device 100, while the memory is located offthe processor die. In some embodiments, the processing device 100includes a cache unit 140 to cache instructions and/or data. The cacheunit 130 includes, but is not limited to, a level one (L1) 132, leveltwo (L2) 134, and a last level cache (LLC) 136, or any otherconfiguration of the cache memory within the processing device 100. Insome embodiments, the L1 cache 132 and L2 cache 134 can transfer data toand from the LLC 136. In one embodiment, the memory controller 120 canbe connected to the LLC 136 to transfer data between the cache unit 130and memory. As shown, the cache unit 130 can be integrated into theprocessing cores 110. The cache unit 130 may store data (e.g., includinginstructions) that are utilized by one or more components of theprocessing device 100.

In some embodiments, the processing device 100 may implement compressiontechniques, such as deflate compression, for supporting data compressionof data from the cache unit 130. In one embodiment, the deflatecompression may be performed by dedicated hardware, such as acceleratorunit 140, coupled to the processing device 100. In some embodiments, theaccelerator unit 140 may operate asynchronously with respect to theprocessing cores 110. In one embodiment, the accelerator unit 140 mayreside on the same die as the processing cores 110. In otherembodiments, the accelerator unit 140 may disposed on a separate devicethat can be added to a system associated with the processing device,such as a Peripheral Component Interconnect (PCI) add-in card.Alternatively, the accelerator unit 140 may be coupled to other systemcomponents. In some embodiments, the functionality of the acceleratorunit 140 can exist in a fewer or greater number of modules than what isshown.

In one embodiment, the accelerator unit 140 may include amicro-architecture including processor logic and circuits similar to theprocessing cores 110. In some embodiment, accelerator unit 140 mayinclude a dedicated portion of the same processor logic and circuitsused by the processing cores 110. The accelerator unit 140 may becapable of executing compression operations in accordance with matchscoring compression logic 144 encoded therein. The compressionoperations of the match scoring compression logic 144 may be executed byaccelerator unit 140 in response to an instruction, such as aninstruction from the processing device 100. For example, the acceleratorunit 140 may receive an instruction to perform compression on a streamof input data blocks 146 based on the match scoring compression logic144. The match scoring compression logic 144 may determine scores forrepeated data sequences in the input data blocks 146 to indicate anamount of data saved in the data block when a given data sequence isused to compress the data block. As discussed above, the given repeateddata the accelerator unit 140 to generate compressed data 148 from theinput data blocks 146 may use sequence with the best score. Thereafter,the accelerator unit 140 may generate a signal when the compressed data148 is complete.

In FIG. 2, a block diagram of a compression module 200 for supportingdata compression using match scoring according to one embodiment isshown. In this example, the compression module 200 may includeaccelerator unit 140 for executing compression operations. Thecompression module 200 may receive an input data stream 201 to becompressed. The input data stream 201 may include a plurality of data202 (e.g., data bits, bytes, characters, etc.) that makes up a datablock, such as one of the input data blocks 146 of FIG. 1.

The compression module 200 may perform searches to identify an input bitsequence 204. The input bit sequence 204 may include an initial sequenceof data in the input data stream 201 where there are no repeatedpatterns of data in that initial sequence. In some embodiments, thecompression module 200 may perform sequential or parallel searches orscans of the input data stream 201. As used herein, the term “parallel”can refer to dividing a series of processes to be executed sequentiallyinto multiple subsets of processes. Each subset of processes can beexecuted concurrently with each other subset of processes. Executing thesubsets of processes concurrently can reduce the amount of processingtime associated with executing the entire series of processes ascompared to executing the entire series of processes sequentially.

In some embodiments, hash function unit 203 may be used to identifymultiple locations for searching for a match or duplicate of the inputbit sequence 204 in the input data stream 201. In one embodiment, thehash function unit 203 may hash a candidate data subsequence of theinput data stream 201 identified by the compression module 200. In oneembodiment, the hash function unit 203 is configured to hash a pluralityof data of an input data stream 201 to provide a hash pointer (e.g., anaddress, index or location) in a hash table 210. The hash table 210 maybe a data structure (e.g., an array, tree, list or other types of datastructures) that stores a number of entries. Each entry may contain apointer pointing to a location in the input data stream 201. Forexample, pointers 211, 212 and 213 in hash table 210 may respectivelypoint to candidate data subsequences 211, 212 and 213 in the input datastream 201. In some embodiments, if the number of pointers stored in thehash table 210 exceeds a threshold capacity of the hash table 210, someof the entries in the hash table 210 may be moved or spilled over tomemory. For example, entries moved out of the hash table 210, can be theones that are least frequently used or least recently used.

The data subsequences 211, 212 and 213, stored in the hash table 210 canbe independently compared with the input bit sequence 204. In oneembodiment, a matching unit 210 may use the pointers in the hash table201 to search those locations in the input data steam 201 associatedwith the pointers to determine whether any portion of the datasubsequences matches the input bit sequence 204. The matching unit 210may also determine a length of the match of each data sequence locationsto the input bit sequence 204. Typically, the matching unit 205 mayselect one of the data subsequences that have the longest match to theinput bit sequence 204 as the “best” match. However, to improve thecompression ratio of the compressed data, the compression module 200 maydetermine a score for each match based on a scoring algorithm that takesinto account the distance between the matching subsequences to the inputbit sequence 204. The data subsequence with a greater score may beidentified as the “best” match rather than a data subsequence that maymerely have a longest match to the input bit sequence 204. This scoringfunctionally is further discussed below with respect to FIG. 3.

In FIG. 3, a block diagram of a compression module 300 for supportingdata compression using match scoring according to another embodiment isshown. In this example, the compression module 200 may includeaccelerator unit 140 for executing compression operations, matching unit205 to search for matches to the input bit sequence 204 in input datastream 201. In some embodiments, compression module 300 may also includea scoring unit 301. The compression module 300 may takes the results ofthe matches from the matching unit 205 and use the scoring unit 301 todecide which one is a “best” match to the input bit sequence 204. In oneembodiment, the score for each match may be based on a scoring algorithmthat may be used to indicate the quality of the match.

In one example, the scoring algorithm may be represented by thefollowing equation:Score(len,dist)=len*constant value−extra bits(dist)

In this example, “len” may represent a length of matching data betweenthe input bit sequence 204 and a candidate data subsequence beingscored, “dist” may represent a distance the input data stream 201 fromthis match to the input bit sequence 204, “constant value” may representthe average number of output bits used to represent an input byte and“extra bits” indicates how many “extra bits” to apply for a particularencoded (e.g., binary code representation) distance of matching data.The “extra bits” should be interpreted as a machine integer stored withthe most-significant bit first, e.g., bits 1110 represent the value 14.

In one illustrative example, the extra bits calculation may berepresented by the following equation:extra bits(dist)=if(dist<5) then 0 else(BSR(dist-1)−1)In this example, “BSR” represents a bit scan reverse processorinstruction that when executed instructs the processor to locate themost significant logical one bit in a source data set and provides anoutput operand containing its position within the source data set.

In the scoring algorithm, the constant value may be set to a value, suchas 8, which is a weigh for the length used in the score calculation.Typically, the greater the length of a match of a data subsequence tothe input bit sequence 204 results in a greater number of data bitsconsumed from the input data stream 201 while minimizing the number ofoutput bits generated. If a subsequence has a shorter length, it will“consume” fewer input bytes. For example, while the subsequence isconsuming fewer input bytes, it is also generating fewer output bits, sothat overall the compression ratio is improved (e.g. when comparing thebits used to encode some larger block of input spanning manysubsequences against the net output bits which would be smaller). Thefollowing are some illustrative examples using the scoring algorithm,where the constant value is 8Score(4,2049)=4*8−10=22(using 10 extra bits for distance of 2029)Score(3,5)=3*8−1=23(using 1 extra bits for distance of 5)

In some embodiments, the scoring algorithm may be used to determine anestimated amount of a reduction in the compression data when using eachmatching data sequence identified by the matching unit 205. In thisregard, the compression module 300 may select a data sequence with ahigher score as the “best” match when compressing the input data stream201. In this regard, the larger the length of the match (e.g., in bytes)between a selected data sequence and the input bit sequence 204, thehigher the score will be for the selected data sequence as opposed to anon-selected data sequence. By contrast, the farther back from alocation of the input bit sequence 204 in the input data stream 201 thatthe match is in terms of distance, the lower the score gets for thatdata sequence by an amount determined by the extra bits that need to beencoded for that distance. If one match is far enough back in the inputdata steam 201, then the closer match may be chosen as the “best” matcheven if it were only one byte smaller.

The compression module 300 may then encode the selected “best” matchfrom the input data stream 201 as the module 300 moves data to an outputbit sequence 303. In some embodiments, the compression module 300 mayencode the best match as it is found in the input data stream 201. Inother embodiments, the compression module 300 may store a location ofthe “best” match at a given position in the input data stream 201, andthen look for a “best” match at a next position in the stream. If a new“best” match is not better than the current match (e.g., longer inlength), the current match is output to the output bit sequence 303.Otherwise, the current match is output as a literal and the position ofthe new “best” match is stored. This process is repeated until the endof the input data stream 201.

To encode the “best” match that is the data sequence with the greaterscore, the compression module 300 may append a reference symbol 302representing that data sequence to the output bit sequence 303. Forexample, reference symbol 302 may represent the data sequence 212 fromthe input data stream 201. In some embodiments, the reference symbol 302may include an identifier to a length-distance (L, BD) pair of symbols.The length-distance pair of symbols may represent a backward distance(BD) in characters go back from a location in the input data stream, tolocate a match of a given length (L) of those characters from thatlocation. When encoding of the input data stream 201 to the output bitsequence 303 is complete (which may be also a final output of thecompression module 300), the accelerator unit 140 may send a signal toindicate that the compressed data of output bit sequence 303 is readyfor output.

FIG. 4 illustrates a flow diagram of a method 400 for supporting datacompression using match scoring according to one embodiment. Method 400may be performed by processing logic that may comprise hardware (e.g.,circuitry, dedicated logic, programmable logic, microcode, etc.),software (such as instructions run on a processing device), firmware, ora combination thereof. In one embodiment, the accelerator unit 140 ofprocessing device 100 in FIG. 1 may perform method 400. Although shownin a particular sequence or order, unless otherwise specified, the orderof the processes can be modified. Thus, the illustrated implementationsshould be understood only as examples, and the illustrated processes canbe performed in a different order, and some processes may be performedin parallel. Additionally, one or more processes can be omitted invarious embodiments. Thus, not all processes are required in everyimplementation. Other process flows are possible.

Method 400 begins at block 410 where a first bit subsequence of an inputbit sequence and a second bit subsequence of the input bit sequence areidentified within an input bit stream. In some embodiments, the inputbit stream may represent a stream of data to be compressed. At block420, a first score reflecting the length of the first bit subsequenceand the distance between the input bit sequence and the first bitsubsequence is determined. At block 430, a second score reflecting thelength of the second bit subsequence and the distance between the inputbit sequence and the second bit subsequence is determined. In view ofthe first score and the second score, one of the first bit subsequenceor the second bit subsequence is selected at block 440. At block 450, acode representing the selected bit subsequence is appended to an outputbit sequence.

FIG. 5A is a block diagram illustrating a micro-architecture for aprocessor 500 that implements techniques for supporting data compressionusing match scoring functionality in accordance with one embodiment ofthe disclosure. Specifically, processor 500 depicts an in-orderarchitecture core and a register renaming logic, out-of-orderissue/execution logic to be included in a processor according to atleast one embodiment of the disclosure.

Processor 500 includes a front-end unit 530 coupled to an executionengine unit 550, and both are coupled to a memory unit 570. Theprocessor 500 may include a reduced instruction set computing (RISC)core, a complex instruction set computing (CISC) core, a very longinstruction word (VLIW) core, or a hybrid or alternative core type. Asyet another option, processor 500 may include a special-purpose core,such as, for example, a network or communication core, compressionengine, graphics core, or the like. In one embodiment, processor 500 maybe a multi-core processor or may part of a multi-processor system.

The front end unit 530 includes a branch prediction unit 532 coupled toan instruction cache unit 534, which is coupled to an instructiontranslation lookaside buffer (TLB) 536, which is coupled to aninstruction fetch unit 538, which is coupled to a decode unit 540. Thedecode unit 540 (also known as a decoder) may decode instructions, andgenerate as an output one or more micro-operations, micro-code entrypoints, microinstructions, other instructions, or other control signals,which are decoded from, or which otherwise reflect, or are derived from,the original instructions. The decoder 540 may be implemented usingvarious different mechanisms. Examples of suitable mechanisms include,but are not limited to, look-up tables, hardware implementations,programmable logic arrays (PLAs), microcode read only memories (ROMs),etc. The instruction cache unit 534 is further coupled to the memoryunit 570. The decode unit 540 is coupled to a rename/allocator unit 552in the execution engine unit 550.

The execution engine unit 550 includes the rename/allocator unit 552coupled to a retirement unit 554 and a set of one or more schedulerunit(s) 556. The scheduler unit(s) 556 represents any number ofdifferent schedulers, including reservations stations (RS), centralinstruction window, etc. The scheduler unit(s) 556 is coupled to thephysical register file(s) unit(s) 558. Each of the physical registerfile(s) units 558 represents one or more physical register files,different ones of which store one or more different data types, such asscalar integer, scalar floating point, packed integer, packed floatingpoint, vector integer, vector floating point, etc., status (e.g., aninstruction pointer that is the address of the next instruction to beexecuted), etc. The physical register file(s) unit(s) 558 is overlappedby the retirement unit 554 to illustrate various ways in which registerrenaming and out-of-order execution may be implemented (e.g., using areorder buffer(s) and a retirement register file(s), using a futurefile(s), a history buffer(s), and a retirement register file(s); using aregister maps and a pool of registers; etc.). The execution engine unit550 may include for example a power management unit (PMU) 590 thatgoverns power functions of the functional units.

Generally, the architectural registers are visible from the outside ofthe processor or from a programmer's perspective. The registers are notlimited to any known particular type of circuit. Various different typesof registers are suitable as long as they are capable of storing andproviding data as described herein. Examples of suitable registersinclude, but are not limited to, dedicated physical registers,dynamically allocated physical registers using register renaming,combinations of dedicated and dynamically allocated physical registers,etc. The retirement unit 554 and the physical register file(s) unit(s)558 are coupled to the execution cluster(s) 560. The executioncluster(s) 560 includes a set of one or more execution units 562 and aset of one or more memory access units 564. The execution units 562 mayperform various operations (e.g., shifts, addition, subtraction,multiplication) and operate on various types of data (e.g., scalarfloating point, packed integer, packed floating point, vector integer,vector floating point).

While some embodiments may include a number of execution units dedicatedto specific functions or sets of functions, other embodiments mayinclude only one execution unit or multiple execution units that allperform all functions. The scheduler unit(s) 556, physical registerfile(s) unit(s) 558, and execution cluster(s) 560 are shown as beingpossibly plural because certain embodiments create separate pipelinesfor certain types of data/operations (e.g., a scalar integer pipeline, ascalar floating point/packed integer/packed floating point/vectorinteger/vector floating point pipeline, and/or a memory access pipelinethat each have their own scheduler unit, physical register file(s) unit,and/or execution cluster—and in the case of a separate memory accesspipeline, certain embodiments are implemented in which only theexecution cluster of this pipeline has the memory access unit(s) 564).It should also be understood that where separate pipelines are used, oneor more of these pipelines may be out-of-order issue/execution and therest in-order.

The set of memory access units 564 is coupled to the memory unit 570,which may include a data prefetcher 580, a data TLB unit 572, a datacache unit (DCU) 574, and a level 2 (L2) cache unit 576, to name a fewexamples. In some embodiments DCU 574 is also known as a first leveldata cache (L1 cache). The DCU 574 may handle multiple outstanding cachemisses and continue to service incoming stores and loads. It alsosupports maintaining cache coherency. The data TLB unit 572 is a cacheused to improve virtual address translation speed by mapping virtual andphysical address spaces. In one exemplary embodiment, the memory accessunits 564 may include a load unit, a store address unit, and a storedata unit, each of which is coupled to the data TLB unit 572 in thememory unit 570. The L2 cache unit 576 may be coupled to one or moreother levels of cache and eventually to a main memory.

In one embodiment, the data prefetcher 580 speculativelyloads/prefetches data to the DCU 574 by automatically predicting whichdata a program is about to consume. Prefeteching may refer totransferring data stored in one memory location of a memory hierarchy(e.g., lower level caches or memory) to a higher-level memory locationthat is closer (e.g., yields lower access latency) to the processorbefore the data is actually demanded by the processor. Morespecifically, prefetching may refer to the early retrieval of data fromone of the lower level caches/memory to a data cache and/or prefetchbuffer before the processor issues a demand for the specific data beingreturned.

In one implementation, processor 500 may be the same as processingdevice 100 described with respect to FIG. 1. In particular, the data TLBunit 572 may be the same as TLB 155 and described with respect to FIG.1, to implement techniques for supporting data compression using matchscoring in a processing device described with respect to implementationsof the disclosure.

The processor 500 may support one or more instructions sets (e.g., thex86 instruction set (with some extensions that have been added withnewer versions); the MIPS instruction set of MIPS Technologies ofSunnyvale, Calif.; the ARM instruction set (with optional additionalextensions such as NEON) of ARM Holdings of Sunnyvale, Calif.).

It should be understood that the core may support multithreading(executing two or more parallel sets of operations or threads), and maydo so in a variety of ways including time sliced multithreading,simultaneous multithreading (where a single physical core provides alogical core for each of the threads that physical core issimultaneously multithreading), or a combination thereof (e.g., timesliced fetching and decoding and simultaneous multithreading thereaftersuch as in the Intel® Hyperthreading technology).

While register renaming is described in the context of out-of-orderexecution, it should be understood that register renaming may be used inan in-order architecture. While the illustrated embodiment of theprocessor also includes a separate instruction and data cache units anda shared L2 cache unit, alternative embodiments may have a singleinternal cache for both instructions and data, such as, for example, aLevel 1 (L1) internal cache, or multiple levels of internal cache. Insome embodiments, the system may include a combination of an internalcache and an external cache that is external to the core and/or theprocessor. Alternatively, all of the cache may be external to the coreand/or the processor.

FIG. 5B is a block diagram illustrating an in-order pipeline and aregister renaming stage, out-of-order issue/execution pipelineimplemented by processor 500 of FIG. 5A according to some embodiments ofthe disclosure. The solid lined boxes in FIG. 5B illustrate an in-orderpipeline, while the dashed lined boxes illustrates a register renaming,out-of-order issue/execution pipeline. In FIG. 5B, a processor pipeline501 includes a fetch stage 502, a length decode stage 504, a decodestage 506, an allocation stage 508, a renaming stage 510, a scheduling(also known as a dispatch or issue) stage 512, a register read/memoryread stage 514, an execute stage 516, a write back/memory write stage518, an exception handling stage 522, and a commit stage 524. In someembodiments, the ordering of stages 502-524 may be different thanillustrated and are not limited to the specific ordering shown in FIG.5B.

FIG. 6 illustrates a block diagram of the micro-architecture for aprocessor 600 that includes logic circuits to implement techniques forsupporting data compression using match-scoring functionality inaccordance with one embodiment of the disclosure. In some embodiments,an instruction in accordance with one embodiment can be implemented tooperate on data elements having sizes of byte, word, double word, quadword, etc., as well as datatypes, such as single and double precisioninteger and floating point datatypes. In one embodiment the in-orderfront end 601 is the part of the processor 600 that fetches instructionsto be executed and prepares them to be used later in the processorpipeline.

The front end 601 may include several units. In one embodiment, theinstruction prefetcher 626 fetches instructions from memory and feedsthem to an instruction decoder 628, which in turn decodes or interpretsthem. For example, in one embodiment, the decoder decodes a receivedinstruction into one or more operations called “micro-instructions” or“micro-operations” (also called micro op or uops) that the machine canexecute. In other embodiments, the decoder parses the instruction intoan opcode and corresponding data and control fields that are used by themicro-architecture to perform operations in accordance with oneembodiment. In one embodiment, the trace cache 630 takes decoded uopsand assembles them into program ordered sequences or traces in the uopqueue 634 for execution. When the trace cache 630 encounters a complexinstruction, the microcode ROM 632 provides the uops needed to completethe operation.

Some instructions are converted into a single micro-op, whereas othersneed several micro-ops to complete the full operation. In oneembodiment, if more than four micro-ops are needed to complete aninstruction, the decoder 628 accesses the microcode ROM 632 to do theinstruction. For one embodiment, an instruction can be decoded into asmall number of micro ops for processing at the instruction decoder 628.In another embodiment, an instruction can be stored within the microcodeROM 632 should a number of micro-ops be needed to accomplish theoperation. The trace cache 630 refers to an entry point programmablelogic array (PLA) to determine a correct microinstruction pointer forreading the micro-code sequences to complete one or more instructions inaccordance with one embodiment from the micro-code ROM 632. After themicrocode ROM 632 finishes sequencing micro-ops for an instruction, thefront end 601 of the machine resumes fetching micro-ops from the tracecache 630.

The out-of-order execution engine 603 is where the instructions areprepared for execution. The out-of-order execution logic has a number ofbuffers to smooth out and re-order the flow of instructions to optimizeperformance as they go down the pipeline and get scheduled forexecution. The allocator logic allocates the machine buffers andresources that each uop needs in order to execute. The register renaminglogic renames logic registers onto entries in a register file. Theallocator also allocates an entry for each uop in one of the two uopqueues, one for memory operations and one for non-memory operations, infront of the instruction schedulers: memory scheduler, fast scheduler602, slow/general floating point scheduler 604, and simple floatingpoint scheduler 606. The uop schedulers 602, 604, 606, determine when auop is ready to execute based on the readiness of their dependent inputregister operand sources and the availability of the execution resourcesthe uops need to complete their operation. The fast scheduler 602 of oneembodiment can schedule on each half of the main clock cycle while theother schedulers can only schedule once per main processor clock cycle.The schedulers arbitrate for the dispatch ports to schedule uops forexecution.

Register files 608, 610 sit between the schedulers 602, 604, 606, andthe execution units 612, 614, 616, 618, 620, 622, 624 in the executionblock 611. There is a separate register file 608, 610, for integer andfloating-point operations, respectively. Each register file 608, 610, ofone embodiment also includes a bypass network that can bypass or forwardjust completed results that have not yet been written into the registerfile to new dependent uops. The integer register file 608 and thefloating-point register file 610 are also capable of communicating datawith the other. For one embodiment, the integer register file 608 issplit into two separate register files, one register file for the loworder 32 bits of data and a second register file for the high order 32bits of data. The floating-point register file 610 of one embodiment has128 bit wide entries because floating-point instructions typically haveoperands from 64 to 128 bits in width.

The execution block 611 contains the execution units 612, 614, 616, 618,620, 622, 624, where the instructions are actually executed. Thissection includes the register files 608, 610, that store the integer andfloating point data operand values that the microinstructions need toexecute. The processor 600 of one embodiment is comprised of a number ofexecution units: address generation unit (AGU) 612, AGU 614, fast ALU616, fast ALU 618, slow ALU 620, floating point ALU 622, floating pointmove unit 624. For one embodiment, the floating-point execution blocks622, 624, execute floating point, MMX, SIMD, and SSE, or otheroperations. The floating point ALU 622 of one embodiment includes a 64bit by 64 bit floating point divider to execute divide, square root, andremainder micro-ops. For embodiments of the disclosure, instructionsinvolving a floating-point value may be handled with the floating-pointhardware.

In one embodiment, the ALU operations go to the high-speed ALU executionunits 616, 618. The fast ALUs 616, 618, of one embodiment can executefast operations with an effective latency of half a clock cycle. For oneembodiment, most complex integer operations go to the slow ALU 620 asthe slow ALU 620 includes integer execution hardware for long latencytype of operations, such as a multiplier, shifts, flag logic, and branchprocessing. The AGUs 612, 614, executes memory load/store operations.For one embodiment, the integer ALUs 616, 618, 620, are described in thecontext of performing integer operations on 64 bit data operands. Inalternative embodiments, the ALUs 616, 618, 620, can be implemented tosupport a variety of data bits including 16, 32, 128, 256, etc.Similarly, the floating-point units 622, 624, can be implemented tosupport a range of operands having bits of various widths. For oneembodiment, the floating-point units 622, 624, can operate on 128 bitswide packed data operands in conjunction with SIMD and multimediainstructions.

In one embodiment, the uops schedulers 602, 604, 606, dispatch dependentoperations before the parent load has finished executing. As uops arespeculatively scheduled and executed in processor 600, the processor 600also includes logic to handle memory misses. If a data load misses inthe data cache, there can be dependent operations in flight in thepipeline that have left the scheduler with temporarily incorrect data. Areplay mechanism tracks and re-executes instructions that use incorrectdata. Only the dependent operations need to be replayed and theindependent ones are allowed to complete. The schedulers and replaymechanism of one embodiment of a processor are also designed to catchinstruction sequences for text string comparison operations.

The processor 600 also includes logic to implement store addressprediction for memory disambiguation according to embodiments of thedisclosure. In one embodiment, the execution block 611 of processor 600may include a store address predictor (not shown) for implementingtechniques for supporting data compression using match scoringfunctionality.

The term “registers” may refer to the on-board processor storagelocations that are used as part of instructions to identify operands. Inother words, registers may be those that are usable from the outside ofthe processor (from a programmer's perspective). However, the registersof an embodiment should not be limited in meaning to a particular typeof circuit. Rather, a register of an embodiment is capable of storingand providing data, and performing the functions described herein. Theregisters described herein can be implemented by circuitry within aprocessor using any number of different techniques, such as dedicatedphysical registers, dynamically allocated physical registers usingregister renaming, combinations of dedicated and dynamically allocatedphysical registers, etc. In one embodiment, integer registers storethirty-two bit integer data. A register file of one embodiment also maycontain an eight multimedia SIMD register for packed data.

For the discussions below, the registers are understood to be dataregisters designed to hold packed data, such as 64 bits wide MMX™registers (also referred to as ‘mm’ registers in some instances) inmicroprocessors enabled with MMX technology from Intel Corporation ofSanta Clara, Calif. These MMX registers, available in both integer andfloating point forms, can operate with packed data elements thataccompany SIMD and SSE instructions. Similarly, 128 bits wide XMMregisters relating to SSE2, SSE3, SSE4, or beyond (referred togenerically as “SSEx”) technology can also be used to hold such packeddata operands. In one embodiment, in storing packed data and integerdata, the registers do not need to differentiate between the two datatypes. In one embodiment, integer and floating point are eithercontained in the same register file or different register files.Furthermore, in one embodiment, floating point and integer data may bestored in different registers or the same registers.

Embodiments may be implemented in many different system types. Referringnow to FIG. 7, shown is a block diagram illustrating a system 700 inwhich an embodiment of the disclosure may be used. As shown in FIG. 7,multiprocessor system 700 is a point-to-point interconnect system, andincludes a first processor 770 and a second processor 780 coupled via apoint-to-point interconnect 750. While shown with only two processors770, 780, it is to be understood that the scope of embodiments of thedisclosure is not so limited. In other embodiments, one or moreadditional processors may be present in a given processor. In oneembodiment, the multiprocessor system 700 may implement techniques forsupporting data compression using match scoring functionality asdescribed herein.

Processors 770 and 780 are shown including integrated memory controllerunits 772 and 782, respectively. Processor 770 also includes as part ofits bus controller units point-to-point (P-P) interfaces 776 and 778;similarly, second processor 780 includes P-P interfaces 786 and 788.Processors 770, 780 may exchange information via a point-to-point (P-P)interface 750 using P-P interface circuits 778, 788. As shown in FIG. 7,IMCs 772 and 782 couple the processors to respective memories, namely amemory 732 and a memory 734, which may be portions of main memorylocally attached to the respective processors.

Processors 770, 780 may exchange information with a chipset 790 viaindividual P-P interfaces 752, 754 using point to point interfacecircuits 776, 794, 786, 798. Chipset 790 may also exchange informationwith a high-performance graphics circuit 738 via a high-performancegraphics interface 739.

A shared cache (not shown) may be included in either processor oroutside of both processors, yet connected with the processors via P-Pinterconnect, such that either or both processors' local cacheinformation may be stored in the shared cache if a processor is placedinto a low power mode.

Chipset 790 may be coupled to a first bus 716 via an interface 796. Inone embodiment, first bus 716 may be a Peripheral Component Interconnect(PCI) bus, or a bus such as a PCI Express bus or another thirdgeneration I/O interconnect bus, although the scope of the disclosure isnot so limited.

As shown in FIG. 7, various I/O devices 714 may be coupled to first bus716, along with a bus bridge 718 which couples first bus 716 to a secondbus 720. In one embodiment, second bus 720 may be a low pin count (LPC)bus. Various devices may be coupled to second bus 720 including, forexample, a keyboard and/or mouse 722, communication devices 727 and astorage unit 728 such as a disk drive or other mass storage device whichmay include instructions/code and data 730, in one embodiment. Further,an audio I/O 724 may be coupled to second bus 720. Note that otherarchitectures are possible. For example, instead of the point-to-pointarchitecture of FIG. 7, a system may implement a multi-drop bus or othersuch architecture.

Referring now to FIG. 8, shown is a block diagram of a system 800 inwhich one embodiment of the disclosure may operate. The system 800 mayinclude one or more processors 810, 815, which are coupled to graphicsmemory controller hub (GMCH) 820. The optional nature of additionalprocessors 815 is denoted in FIG. 8 with broken lines. In oneembodiment, processors 810, 815 implement techniques for supporting datacompression using match scoring functionality according to embodimentsof the disclosure.

Each processor 810, 815 may be some version of the circuit, integratedcircuit, processor, and/or silicon integrated circuit as describedabove. However, it should be noted that it is unlikely that integratedgraphics logic and integrated memory control units would exist in theprocessors 810, 815. FIG. 8 illustrates that the GMCH 820 may be coupledto a memory 840 that may be, for example, a dynamic random access memory(DRAM). The DRAM may, for at least one embodiment, be associated with anon-volatile cache.

The GMCH 820 may be a chipset, or a portion of a chipset. The GMCH 820may communicate with the processor(s) 810, 815 and control interactionbetween the processor(s) 810, 815 and memory 840. The GMCH 820 may alsoact as an accelerated bus interface between the processor(s) 810, 815and other elements of the system 800. For at least one embodiment, theGMCH 820 communicates with the processor(s) 810, 815 via a multi-dropbus, such as a frontside bus (FSB) 895.

Furthermore, GMCH 820 is coupled to a display 845 (such as a flat panelor touchscreen display). GMCH 820 may include an integrated graphicsaccelerator. GMCH 820 is further coupled to an input/output (I/O)controller hub (ICH) 850, which may be used to couple various peripheraldevices to system 800. Shown for example in the embodiment of FIG. 8 isan external graphics device 860, which may be a discrete graphicsdevice, coupled to ICH 850, along with another peripheral device 870.

Alternatively, additional or different processors may also be present inthe system 800. For example, additional processor(s) 815 may includeadditional processors(s) that are the same as processor 810, additionalprocessor(s) that are heterogeneous or asymmetric to processor 810,accelerators (such as, e.g., graphics accelerators or digital signalprocessing (DSP) units), field programmable gate arrays, or any otherprocessor. There can be a variety of differences between theprocessor(s) 810, 815 in terms of a spectrum of metrics of meritincluding architectural, micro-architectural, thermal, power consumptioncharacteristics, and the like. These differences may effectivelymanifest themselves as asymmetry and heterogeneity amongst theprocessors 810, 815. For at least one embodiment, the various processors810, 815 may reside in the same die package.

Referring now to FIG. 9, shown is a block diagram of a system 900 inwhich an embodiment of the disclosure may operate. FIG. 9 illustratesprocessors 970, 980. In one embodiment, processors 970, 980 maytechniques for supporting data compression using match scoringfunctionality as described above. Processors 970, 980 may includeintegrated memory and I/O control logic (“CL”) 972 and 982, respectivelyand intercommunicate with each other via point-to-point interconnect 950between point-to-point (P-P) interfaces 978 and 988 respectively.Processors 970, 980 each communicate with chipset 990 via point-to-pointinterconnects 952 and 954 through the respective P-P interfaces 976 to994 and 986 to 998 as shown. For at least one embodiment, the CL 972,982 may include integrated memory controller units. CLs 972, 982 mayinclude I/O control logic. As depicted, memories 932, 934 coupled to CLs972, 982 and I/O devices 914 are also coupled to the control logic 972,982. Legacy I/O devices 915 are coupled to the chipset 990 via interface996.

Embodiments may be implemented in many different system types. FIG. 10is a block diagram of a SoC 1000 in accordance with an embodiment of thedisclosure. Dashed lined boxes are optional features on more advancedSoCs. In FIG. 10, an interconnect unit(s) 1012 is coupled to: anapplication processor 1020 which includes a set of one or more cores1002A-N and shared cache unit(s) 1006; a system agent unit 1010; a buscontroller unit(s) 1016; an integrated memory controller unit(s) 1014; aset or one or more media processors 1018 which may include integratedgraphics logic 1008, an image processor 1024 for providing still and/orvideo camera functionality, an audio processor 1026 for providinghardware audio acceleration, and a video processor 1028 for providingvideo encode/decode acceleration; an static random access memory (SRAM)unit 1030; a direct memory access (DMA) unit 1032; and a display unit1040 for coupling to one or more external displays. In one embodiment, amemory module may be included in the integrated memory controllerunit(s) 1014. In another embodiment, the memory module may be includedin one or more other components of the SoC 1000 that may be used toaccess and/or control a memory. The application processor 1020 mayinclude a PMU for implementing silent memory instructions and miss-ratetracking to optimize switching policy on threads as described inembodiments herein.

The memory hierarchy includes one or more levels of cache within thecores, a set or one or more shared cache units 1006, and external memory(not shown) coupled to the set of integrated memory controller units1014. The set of shared cache units 1006 may include one or moremid-level caches, such as level 2 (L2), level 3 (L3), level 4 (L4), orother levels of cache, a last level cache (LLC), and/or combinationsthereof.

In some embodiments, one or more of the cores 1002A-N are capable ofmulti-threading. The system agent 1010 includes those componentscoordinating and operating cores 1002A-N. The system agent unit 1010 mayinclude for example a power control unit (PCU) and a display unit. ThePCU may be or include logic and components needed for regulating thepower state of the cores 1002A-N and the integrated graphics logic 1008.The display unit is for driving one or more externally connecteddisplays.

The cores 1002A-N may be homogenous or heterogeneous in terms ofarchitecture and/or instruction set. For example, some of the cores1002A-N may be in order while others are out-of-order. As anotherexample, two or more of the cores 1002A-N may be capable of executionthe same instruction set, while others may be capable of executing onlya subset of that instruction set or a different instruction set.

The application processor 1020 may be a general-purpose processor, suchas a Core™ i3, i5, i7, 2 Duo and Quad, Xeon™, Itanium™, Atom™ or Quark™processor, which are available from Intel™ Corporation, of Santa Clara,Calif. Alternatively, the application processor 1020 may be from anothercompany, such as ARM Holdings™, Ltd, MIPS™, etc. The applicationprocessor 1020 may be a special-purpose processor, such as, for example,a network or communication processor, compression engine, graphicsprocessor, co-processor, embedded processor, or the like. Theapplication processor 1020 may be implemented on one or more chips. Theapplication processor 1020 may be a part of and/or may be implemented onone or more substrates using any of a number of process technologies,such as, for example, BiCMOS, CMOS, or NMOS.

FIG. 11 is a block diagram of an embodiment of a system on-chip (SoC)design in accordance with the disclosure. As a specific illustrativeexample, SoC 1100 is included in user equipment (UE). In one embodiment,UE refers to any device to be used by an end-user to communicate, suchas a hand-held phone, smartphone, tablet, ultra-thin notebook, notebookwith broadband adapter, or any other similar communication device. Oftena UE connects to a base station or node, which potentially correspondsin nature to a mobile station (MS) in a GSM network.

Here, SOC 1100 includes 2 cores—1106 and 1107. Cores 1106 and 1107 mayconform to an Instruction Set Architecture, such as an Intel®Architecture Core™-based processor, an Advanced Micro Devices, Inc.(AMD) processor, a MIPS-based processor, an ARM-based processor design,or a customer thereof, as well as their licensees or adopters. Cores1106 and 1107 are coupled to cache control 1108 that is associated withbus interface unit 1109 and L2 cache 1110 to communicate with otherparts of system 1100. Interconnect 1110 includes an on-chipinterconnect, such as an IOSF, AMBA, or other interconnect discussedabove, which potentially implements one or more aspects of the describeddisclosure. In one embodiment, cores 1106, 1107 may implement techniquesfor supporting data compression using match scoring functionality asdescribed in embodiments herein.

Interconnect 1110 provides communication channels to the othercomponents, such as a Subscriber Identity Module (SIM) 1130 to interfacewith a SIM card, a boot ROM 1140 to hold boot code for execution bycores 1106 and 1107 to initialize and boot SoC 1100, a SDRAM controller1140 to interface with external memory (e.g. DRAM 1160), a flashcontroller 1145 to interface with non-volatile memory (e.g. Flash 1165),a peripheral control 1150 (e.g. Serial Peripheral Interface) tointerface with peripherals, video codecs 1120 and Video interface 1125to display and receive input (e.g. touch enabled input), GPU 1115 toperform graphics related computations, etc. Any of these interfaces mayincorporate aspects of the disclosure described herein. In addition, thesystem 1100 illustrates peripherals for communication, such as aBluetooth module 1170, 3G modem 1175, GPS 1180, and Wi-Fi 1185.

FIG. 12 illustrates a diagrammatic representation of a machine in theexample form of a computer system 1200 within which a set ofinstructions, for causing the machine to perform any one or more of themethodologies discussed herein, may be executed. In alternativeembodiments, the machine may be connected (e.g., networked) to othermachines in a LAN, an intranet, an extranet, or the Internet. Themachine may operate in the capacity of a server or a client device in aclient-server network environment, or as a peer machine in apeer-to-peer (or distributed) network environment. The machine may be apersonal computer (PC), a tablet PC, a set-top box (STB), a PersonalDigital Assistant (PDA), a cellular telephone, a web appliance, aserver, a network router, switch or bridge, or any machine capable ofexecuting a set of instructions (sequential or otherwise) that specifyactions to be taken by that machine. Further, while only a singlemachine is illustrated, the term “machine” shall also be taken toinclude any collection of machines that individually or jointly executea set (or multiple sets) of instructions to perform any one or more ofthe methodologies discussed herein.

The computer system 1200 includes a processing device 1202, a mainmemory 1204 (e.g., read-only memory (ROM), flash memory, dynamic randomaccess memory (DRAM) (such as synchronous DRAM (SDRAM) or DRAM (RDRAM),etc.), a static memory 1206 (e.g., flash memory, static random accessmemory (SRAM), etc.), and a data storage device 1218, which communicatewith each other via a bus 1230.

Processing device 1202 represents one or more general-purpose processingdevices such as a microprocessor, central processing unit, or the like.More particularly, the processing device may be complex instruction setcomputing (CISC) microprocessor, reduced instruction set computer (RISC)microprocessor, very long instruction word (VLIW) microprocessor, orprocessor implementing other instruction sets, or processorsimplementing a combination of instruction sets. Processing device 1202may also be one or more special-purpose processing devices such as anapplication specific integrated circuit (ASIC), a field programmablegate array (FPGA), a digital signal processor (DSP), network processor,or the like. In one embodiment, processing device 1202 may include oneor processing cores. The processing device 1202 is configured to executethe processing logic 1226 for performing the operations and stepsdiscussed herein. In one embodiment, processing device 1202 is the sameas processor architecture 100 described with respect to FIG. 1 thatimplements techniques for supporting data compression using matchscoring functionality as described herein with embodiments of thedisclosure.

The computer system 1200 may further include a network interface device1208 communicably coupled to a network 1220. The computer system 1200also may include a video display unit 1210 (e.g., a liquid crystaldisplay (LCD) or a cathode ray tube (CRT)), an alphanumeric input device1212 (e.g., a keyboard), a cursor control device 1214 (e.g., a mouse),and a signal generation device 1216 (e.g., a speaker). Furthermore,computer system 1200 may include a graphics processing unit 1222, avideo processing unit 1228, and an audio processing unit 1232.

The data storage device 1218 may include a non-transitorymachine-accessible storage medium 1224 on which is stored software 1226implementing any one or more of the methodologies of functions describedherein, such as implementing silent memory instructions and miss-ratetracking to optimize switching policy on threads in a processing deviceas described above. The software 1226 may also reside, completely or atleast partially, within the main memory 1204 as instructions 1226 and/orwithin the processing device 1202 as processing logic 1226 duringexecution thereof by the computer system 1200; the main memory 1204 andthe processing device 1202 also constituting machine-accessible storagemedia.

The non-transitory machine-readable storage medium 1224 may also be usedto store instructions 1226 implementing silent memory instructions andmiss-rate tracking to optimize switching policy on threads in aprocessing device such as described with respect to processing device100 in FIG. 1, and/or a software library containing methods that callthe above applications. While the non-transitory machine-accessiblestorage medium 1224 is shown in an example embodiment to be a singlemedium, the term “machine-accessible storage medium” should be taken toinclude a single medium or multiple media (e.g., a centralized ordistributed database, and/or associated caches and servers) that storethe one or more sets of instructions. The term “machine-accessiblestorage medium” shall also be taken to include any medium that iscapable of storing, encoding or carrying a set of instruction forexecution by the machine and that cause the machine to perform any oneor more of the methodologies of the disclosure. The term“machine-accessible storage medium” shall accordingly be taken toinclude, but not be limited to, solid-state memories, and optical andmagnetic media.

The following examples pertain to further embodiments.

Example 1 is a processing system comprising: 1) a memory for storing aninput bit stream; and 2) a processing logic to: a) identify, within theinput bit stream, a first bit subsequence of an input bit sequence and asecond bit subsequence of the input bit sequence; b) determine a firstscore reflecting the length of the first bit subsequence and thedistance, within the input bit stream, between the input bit sequenceand the first bit subsequence; c) determine a second score reflectingthe length of the second bit subsequence and the distance, within theinput bit stream, between the input bit sequence and the second bitsubsequence; d) select, in view of the first score and the second score,one of the first bit subsequence or the second bit subsequence; and e)append, to an output bit sequence, a code representing a selected bitsubsequence.

In Example 2, the subject matter of Example 1, wherein the code reflectsat least one of: a length of the selected bit subsequence or a distancebetween the input bit sequence and the selected bit subsequence.

In Example 3, the subject matter of any one of Examples 1-2, wherein toselect one of the first bit subsequence or the second bit subsequence,the processing logic further to compare the first score and the secondscore.

In Example 4, the subject matter of any one of Examples 1-3, wherein ascore associated with the selected bit subsequence is greater than ascore associated with a non-selected bit subsequence.

In Example 5, the subject matter of any one of Examples 1-4, wherein alength of the selected bit subsequence is shorter than a length of thenon-selected bit subsequence.

In Example 6, the subject matter of any one of Examples 1-5, wherein thedistance between the input bit sequence and the selected subsequence isshorter than a distance between the input bit sequence and thenon-selected bit subsequence.

In Example 7, the subject matter of any one of Examples 1-6, wherein thescore associated with the selected subsequence reflects a determinationof an amount of bits used to generate the code.

Various embodiments may have different combinations of the structuralfeatures described above. For instance, all optional features of theprocessor described above may also be implemented with respect to amethod or process described herein and specifics in the examples may beused anywhere in one or more embodiments.

Example 8 is a method comprising 1) identifying, within an input bitstream, a first bit subsequence of an input bit sequence and a secondbit subsequence of the input bit sequence; 2) determining, using aprocessing device, a first score reflecting the length of the first bitsubsequence and the distance between the input bit sequence and thefirst bit subsequence; 3) determining, using the processing device, asecond score reflecting the length of the second bit subsequence, withinthe input bit stream, and the distance between the input bit sequenceand the second bit subsequence; 4) selecting, in view of the first scoreand the second score, one of the first bit subsequence or the second bitsubsequence; and 5) appending, to an output bit sequence, a coderepresenting a selected bit subsequence.

In Example 9, the subject matter of Example 10, wherein selecting one ofthe first bit subsequence or the second bit subsequence, furthercomprises comparing the first score and the second score.

In Example 10, the subject matter of any one of Example 8-9, whereinselecting one of the first bit subsequence or the second bitsubsequence, further comprises comparing the first score and the secondscore.

In Example 11, the subject matter of any one of Example 8-10, wherein ascore associated with the selected bit subsequence is greater than ascore associated with a non-selected bit subsequence.

In Example 12, the subject matter of any one of Example 8-11, wherein alength of the selected bit subsequence is shorter than a length of thenon-selected bit subsequence.

In Example 13, the subject matter of any one of Example 8-12, whereinthe distance between the input bit sequence and the selected subsequenceis shorter than a distance between the input bit sequence and thenon-selected bit subsequence.

In Example 14, the subject matter of any one of Example 8-13, whereinthe score associated with the selected subsequence reflects adetermination of an amount of bits used to generate the code.

Various embodiments may have different combinations of the structuralfeatures described above. For instance, all optional features of theprocessors and methods described above may also be implemented withrespect to a system described herein and specifics in the examples maybe used anywhere in one or more embodiments.

Example 15 is a system on chip (SoC) comprising: 1) a memory controllerunit (MCU); and 2) a processor, operatively coupled to the MCU, to: a)identify, within an input bit stream, a first bit subsequence of aninput bit sequence and a second bit subsequence of the input bitsequence; b) determine a first score reflecting the length of the firstbit subsequence and the distance between the input bit sequence and thefirst bit subsequence; c) determine a second score reflecting the lengthof the second bit subsequence, within the input bit stream, and thedistance between the input bit sequence and the second bit subsequence;d) select, in view of the first score and the second score, one of thefirst bit subsequence or the second bit subsequence; and e) append, toan output bit sequence, a code representing a selected bit subsequence.

In Example 16, the subject matter of any one of Examples 15, wherein thecode reflects at least one of: a length of the selected bit subsequenceor a distance between the input bit sequence and the selected bitsubsequence.

In Example 17, the subject matter of any one of Examples 15-16, whereinto select one of the first bit subsequence or the second bitsubsequence, the processor further to compare the first score and thesecond score.

In Example 18, the subject matter of any one of Examples 15-17, whereina score associated with the selected bit subsequence is greater than ascore associated with a non-selected bit subsequence.

In Example 19, the subject matter of any one of Examples 15-18, whereina length of the selected bit subsequence is shorter than a length of thenon-selected bit subsequence.

In Example 20, the subject matter of any one of Examples 15-19, whereinthe distance between the input bit sequence and the selected subsequenceis shorter than a distance between the input bit sequence and thenon-selected bit subsequence.

In Example 21, the subject matter of any one of Examples 15-20, whereinthe score associated with the selected subsequence reflects adetermination of an amount of bits used to generate the code.

Various embodiments may have different combinations of the operationalfeatures described above. For instance, all optional features of themethods described above may also be implemented with respect to anon-transitory, computer-readable storage medium. Specifics in theexamples may be used anywhere in one or more embodiments.

Example 22 is a non-transitory, computer-readable storage mediumincluding instructions that when executed by a processor, cause theprocessor to: 1) identify, within the input bit stream, a first bitsubsequence of an input bit sequence and a second bit subsequence of theinput bit sequence; 2) determine, using the processing device, a firstscore reflecting the length of the first bit subsequence and thedistance, within the input bit stream, between the input bit sequenceand the first bit subsequence; 3) determine, using the processingdevice, a second score reflecting the length of the second bitsubsequence and the distance, within the input bit stream, between theinput bit sequence and the second bit subsequence; 4) select, in view ofthe first score and the second score, one of the first bit subsequenceor the second bit subsequence; and 5) append, to an output bit sequence,a code representing a selected bit subsequence.

In Example 23, the subject matter of any one of Examples 22, wherein thecode reflects at least one of: a length of the selected bit subsequenceor a distance between the input bit sequence and the selected bitsubsequence.

In Example 24, the subject matter of any one of Examples 22-23, whereinto select one of the first bit subsequence or the second bitsubsequence, the executable instructions further cause the processingdevice to compare the first score and the second score.

In Example 25, the subject matter of any one of Examples 22-24, whereina score associated with the selected bit subsequence is greater than ascore associated with a non-selected bit subsequence.

In Example 26, the subject matter of any one of Examples 22-25, whereina length of the selected bit subsequence is shorter than a length of thenon-selected bit subsequence.

In Example 27, the subject matter of any one of Examples 22-26, whereinthe distance between the input bit sequence and the selected subsequenceis shorter than a distance between the input bit sequence and thenon-selected bit subsequence.

In Example 28, the subject matter of any one of Examples 22-27, whereinthe score associated with the selected subsequence reflects adetermination of an amount of bits used to generate the code.

Example 29 is a non-transitory, computer-readable storage mediumincluding instructions that, when executed by a processor, cause theprocessor to perform the method of examples 8-14.

Example 30 is an apparatus comprising: 1) a plurality of functionalunits of a processor; 2) means for identifying, within an input bitstream, a first bit subsequence of an input bit sequence and a secondbit subsequence of the input bit sequence; 3) means for searching, bythe processor, for locations of a data bit sequence repeated in the datablock; 4) means for determining, using the processor, a first scorereflecting the length of the first bit subsequence and the distancebetween the input bit sequence and the first bit subsequence; 5) meansfor determining, using the processor, a second score reflecting thelength of the second bit subsequence, within the input bit stream, andthe distance between the input bit sequence and the second bitsubsequence; 6) means selecting, in view of the first score and thesecond score, one of the first bit subsequence or the second bitsubsequence; and 7) means for appending, to an output bit sequence, acode representing a selected bit subsequence.

In Example 31, the subject matter of claim 30, further comprising thesubject matter of any of examples 1-7 and 15-21.

Example 32 is a system comprising: 1) a memory device and 2) a processorcomprising a memory controller unit, wherein the processor is configuredto perform the method of any of examples 8-14.

In Example 33, the subject matter of claim 32, further comprising thesubject matter of any of examples 1-7 and 15-21.

While the disclosure has been described respect to a limited number ofembodiments, those skilled in the art will appreciate numerousmodifications and variations there from. It is intended that theappended claims cover all such modifications and variations as fallwithin the true spirit and scope of this disclosure.

A design may go through various stages, from creation to simulation tofabrication. Data representing a design may represent the design in anumber of manners. First, as is useful in simulations, the hardware maybe represented using a hardware description language or anotherfunctional description language. Additionally, a circuit level modelwith logic and/or transistor gates may be produced at some stages of thedesign process. Furthermore, most designs, at some stage, reach a levelof data representing the physical placement of various devices in thehardware model. In the case where conventional semiconductor fabricationtechniques are used, the data representing the hardware model may be thedata specifying the presence or absence of various features on differentmask layers for masks used to produce the integrated circuit. In anyrepresentation of the design, the data may be stored in any form of amachine readable medium. A memory or a magnetic or optical storage suchas a disc may be the machine readable medium to store informationtransmitted via optical or electrical wave modulated or otherwisegenerated to transmit such information. When an electrical carrier waveindicating or carrying the code or design is transmitted, to the extentthat copying, buffering, or re-transmission of the electrical signal isperformed, a new copy is made. Thus, a communication provider or anetwork provider may store on a tangible, machine-readable medium, atleast temporarily, an article, such as information encoded into acarrier wave, embodying techniques of embodiments of the disclosure.

A module as used herein refers to any combination of hardware, software,and/or firmware. As an example, a module includes hardware, such as amicro-controller, associated with a non-transitory medium to store codeadapted to be executed by the micro-controller. Therefore, reference toa module, in one embodiment, refers to the hardware, which isspecifically configured to recognize and/or execute the code to be heldon a non-transitory medium. Furthermore, in another embodiment, use of amodule refers to the non-transitory medium including the code, which isspecifically adapted to be executed by the microcontroller to performpredetermined operations. And as can be inferred, in yet anotherembodiment, the term module (in this example) may refer to thecombination of the microcontroller and the non-transitory medium. Oftenmodule boundaries that are illustrated as separate commonly vary andpotentially overlap. For example, a first and a second module may sharehardware, software, firmware, or a combination thereof, whilepotentially retaining some independent hardware, software, or firmware.In one embodiment, use of the term logic includes hardware, such astransistors, registers, or other hardware, such as programmable logicdevices.

Use of the phrase ‘configured to,’ in one embodiment, refers toarranging, putting together, manufacturing, offering to sell, importingand/or designing an apparatus, hardware, logic, or element to perform adesignated or determined task. In this example, an apparatus or elementthereof that is not operating is still ‘configured to’ perform adesignated task if it is designed, coupled, and/or interconnected toperform said designated task. As a purely illustrative example, a logicgate may provide a 0 or a 1 during operation. But a logic gate‘configured to’ provide an enable signal to a clock does not includeevery logic gate that may provide a 1 or 0. Instead, the logic gate isone coupled in some manner that during operation the 1 or 0 output is toenable the clock. Note once again that use of the term ‘configured to’does not require operation, but instead focus on the latent state of anapparatus, hardware, and/or element, where in the latent state theapparatus, hardware, and/or element is designed to perform a particulartask when the apparatus, hardware, and/or element is operating.

Furthermore, use of the phrases ‘to,’ ‘capable of/to,’ and or ‘operableto,’ in one embodiment, refers to some apparatus, logic, hardware,and/or element designed in such a way to enable use of the apparatus,logic, hardware, and/or element in a specified manner. Note as abovethat use of to, capable to, or operable to, in one embodiment, refers tothe latent state of an apparatus, logic, hardware, and/or element, wherethe apparatus, logic, hardware, and/or element is not operating but isdesigned in such a manner to enable use of an apparatus in a specifiedmanner.

A value, as used herein, includes any known representation of a number,a state, a logical state, or a binary logical state. Often, the use oflogic levels, logic values, or logical values is also referred to as 1'sand 0's, which simply represents binary logic states. For example, a 1refers to a high logic level and 0 refers to a low logic level. In oneembodiment, a storage cell, such as a transistor or flash cell, may becapable of holding a single logical value or multiple logical values.However, other representations of values in computer systems have beenused. For example the decimal number ten may also be represented as abinary value of 910 and a hexadecimal letter A. Therefore, a valueincludes any representation of information capable of being held in acomputer system.

Moreover, values or portions of values may represent states. As anexample, a first value, such as a logical one, may represent a defaultor initial state, while a second value, such as a logical zero, mayrepresent a non-default state. In addition, the terms reset and set, inone embodiment, refer to a default and an updated value or state,respectively. For example, a default value potentially includes a highlogical value, i.e. reset, while an updated value potentially includes alow logical value, i.e. set. Note that any combination of values may beutilized to represent any number of states.

The embodiments of methods, hardware, software, firmware or code setforth above may be implemented via instructions or code stored on amachine-accessible, machine readable, computer accessible, or computerreadable medium which are executable by a processing element. Anon-transitory machine-accessible/readable medium includes any mechanismthat provides (i.e., stores and/or transmits) information in a formreadable by a machine, such as a computer or electronic system. Forexample, a non-transitory machine-accessible medium includesrandom-access memory (RAM), such as static RAM (SRAM) or dynamic RAM(DRAM); ROM; magnetic or optical storage medium; flash memory devices;electrical storage devices; optical storage devices; acoustical storagedevices; other form of storage devices for holding information receivedfrom transitory (propagated) signals (e.g., carrier waves, infraredsignals, digital signals); etc., which are to be distinguished from thenon-transitory mediums that may receive information there from.

Instructions used to program logic to perform embodiments of thedisclosure may be stored within a memory in the system, such as DRAM,cache, flash memory, or other storage. Furthermore, the instructions canbe distributed via a network or by way of other computer readable media.Thus a machine-readable medium may include any mechanism for storing ortransmitting information in a form readable by a machine (e.g., acomputer), but is not limited to, floppy diskettes, optical disks,Compact Disc, Read-Only Memory (CD-ROMs), and magneto-optical disks,Read-Only Memory (ROMs), Random Access Memory (RAM), ErasableProgrammable Read-Only Memory (EPROM), Electrically ErasableProgrammable Read-Only Memory (EEPROM), magnetic or optical cards, flashmemory, or a tangible, machine-readable storage used in the transmissionof information over the Internet via electrical, optical, acoustical orother forms of propagated signals (e.g., carrier waves, infraredsignals, digital signals, etc.). Accordingly, the computer-readablemedium includes any type of tangible machine-readable medium suitablefor storing or transmitting electronic instructions or information in aform readable by a machine (e.g., a computer).

Reference throughout this specification to “one embodiment” or “anembodiment” means that a particular feature, structure, orcharacteristic described in connection with the embodiment is includedin at least one embodiment of the disclosure. Thus, the appearances ofthe phrases “in one embodiment” or “in an embodiment” in various placesthroughout this specification are not necessarily all referring to thesame embodiment. Furthermore, the particular features, structures, orcharacteristics may be combined in any suitable manner in one or moreembodiments.

In the foregoing specification, a detailed description has been givenwith reference to specific exemplary embodiments. It will, however, beevident that various modifications and changes may be made theretowithout departing from the broader spirit and scope of the disclosure asset forth in the appended claims. The specification and drawings are,accordingly, to be regarded in an illustrative sense rather than arestrictive sense. Furthermore, the foregoing use of embodiment andother exemplarily language does not necessarily refer to the sameembodiment or the same example, but may refer to different and distinctembodiments, as well as potentially the same embodiment.

What is claimed is:
 1. A processing system comprising: a memory forstoring an input bit stream; and a processing logic to: identify, withinthe input bit stream, a first bit subsequence of an input bit sequenceand a second bit subsequence of the input bit sequence; determine afirst score reflecting the length of the first bit subsequence and thedistance, within the input bit stream, between the input bit sequenceand the first bit subsequence; determine a second score reflecting thelength of the second bit subsequence and the distance, within the inputbit stream, between the input bit sequence and the second bitsubsequence; select, in view of the first score and the second score,one of the first bit subsequence or the second bit subsequence; andappend, to an output bit sequence, a code representing a selected bitsubsequence.
 2. The processing system of claim 1, wherein the codereflects at least one of: a length of the selected bit subsequence or adistance between the input bit sequence and the selected bitsubsequence.
 3. The processing system of claim 1, wherein to select oneof the first bit subsequence or the second bit subsequence, theprocessing logic further to compare the first score and the secondscore.
 4. The processing system of claim 1, wherein a score associatedwith the selected bit subsequence is greater than a score associatedwith a non-selected bit subsequence.
 5. The processing system of claim4, wherein a length of the selected bit subsequence is shorter than alength of the non-selected bit subsequence.
 6. The processing system ofclaim 5, wherein the distance between the input bit sequence and theselected subsequence is shorter than a distance between the input bitsequence and the non-selected bit subsequence.
 7. The processing systemof claim 4, wherein the score associated with the selected subsequencereflects a determination of an amount of bits used to generate the code.8. A method comprising: identifying, within an input bit stream, a firstbit subsequence of an input bit sequence and a second bit subsequence ofthe input bit sequence; determining, using a processing device, a firstscore reflecting the length of the first bit subsequence and thedistance between the input bit sequence and the first bit subsequence;determining, using the processing device, a second score reflecting thelength of the second bit subsequence, within the input bit stream, andthe distance between the input bit sequence and the second bitsubsequence; selecting, in view of the first score and the second score,one of the first bit subsequence or the second bit subsequence; andappending, to an output bit sequence, a code representing a selected bitsubsequence.
 9. The method of claim 8, wherein the code reflects atleast one of: a length of the selected bit subsequence or a distancebetween the input bit sequence and the selected bit subsequence.
 10. Themethod of claim 8, wherein selecting one of the first bit subsequence orthe second bit subsequence, further comprises comparing the first scoreand the second score.
 11. The method of claim 8, wherein a scoreassociated with the selected bit subsequence is greater than a scoreassociated with a non-selected bit subsequence.
 12. The method of claim11, wherein a length of the selected bit subsequence is shorter than alength of the non-selected bit subsequence.
 13. The method of claim 12,wherein the distance between the input bit sequence and the selectedsubsequence is shorter than a distance between the input bit sequenceand the non-selected bit subsequence.
 14. The method claim 11, whereinthe score associated with the selected subsequence reflects adetermination of an amount of bits used to generate the code.
 15. Asystem on chip (SoC) comprising: a memory controller unit (MCU); and aprocessor, operatively coupled to the MCU, to: identify, within an inputbit stream, a first bit subsequence of an input bit sequence and asecond bit subsequence of the input bit sequence; determine a firstscore reflecting the length of the first bit subsequence and thedistance between the input bit sequence and the first bit subsequence;determine a second score reflecting the length of the second bitsubsequence, within the input bit stream, and the distance between theinput bit sequence and the second bit subsequence; select, in view ofthe first score and the second score, one of the first bit subsequenceor the second bit subsequence; and append, to an output bit sequence, acode representing a selected bit subsequence.
 16. The SoC of claim 15,wherein the code reflects at least one of: a length of the selected bitsubsequence or a distance between the input bit sequence and theselected bit subsequence.
 17. The SoC of claim 15, wherein to select oneof the first bit subsequence or the second bit subsequence, theprocessor further to compare the first score and the second score. 18.The SoC of claim 15, wherein a score associated with the selected bitsubsequence is greater than a score associated with a non-selected bitsubsequence.
 19. The SoC of claim 18, wherein a length of the selectedbit subsequence is shorter than a length of the non-selected bitsubsequence.
 20. The SoC of claim 19, wherein the distance between theinput bit sequence and the selected subsequence is shorter than adistance between the input bit sequence and the non-selected bitsubsequence.